IT Data Scientist, Staff

Company

Qualcomm India Private Limited

Job Area

Information Technology Group, Information Technology Group > IT Data Scientist

Qualcomm Overview

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

General Summary

Key responsibilities:

• Design, develop, and deploy machine learning algorithms and models to solve complex problems.
• Use predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.
• Collaborate with cross-functional teams to understand business needs and deliver effective data-driven solutions.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
  
  
  

Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.

Minimum qualification: 9+ years of IT experience, with at least 4 years focused on data science related solution delivery.

Required Competencies

• Proficiency in programming (Python, R, or Java, SQL, NoSQL) to draw insights from large data sets.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas).
• Experience with NLP & transformer-based models (e.g., BERT, GPT, Llama).
• Proficiency in statistical methods, hypothesis testing, confidence intervals, and p-values.
• Knowledge of time series modeling, trend analysis, and forecasting using methods like ARIMA and Prophet.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Having an exposure to LLM and Gen AI concepts, exposure to DevOps CI/CD pipelines is a plus
• Solid foundation in data structures, algorithms, and software engineering principles.
• Excellent problem-solving, analytical, and communication skills.
  
  
  

Preferred Experience

Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

Familiarity with big data technologies (e.g., Hadoop, Spark).

Experience visualizing/presenting data for stakeholders using tools like Tableau/Power BI/Matplotlib/Seaborn etc.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

3063807